Body composition and arsenic metabolism: a cross-sectional analysis in the Strong Heart Study.
Body composition and arsenic metabolism: a cross-sectional analysis in the Strong Heart Study.
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DOI：
10.1186/1476-069x-12-107
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发表时间：
2013-12-09
期刊：
影响因子：
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通讯作者：
Navas-Acien A
中科院分区：
文献类型：
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作者：
Gribble MO;Crainiceanu CM;Howard BV;Umans JG;Francesconi KA;Goessler W;Zhang Y;Silbergeld EK;Guallar E;Navas-Acien A
这项研究的目的是评估1989-1991年强心研究基线访问中身体成分测量与尿砷代谢产物模式之间的关系，该研究是一项心血管疾病队列研究，从亚利桑那州、俄克拉何马州、北达科他州和南达科他州的农村社区招募成年人。我们评估了3663名强心研究参与者，他们的尿砷含量超过了检测限值，并且没有遗漏体重指数、身体脂肪百分比和通过生物电阻抗测量的脱脂质量、腰围和其他变量的数据。我们总结了尿砷的形态模式，即无机砷(IAS)、甲基砷酸盐(MMA)和二甲基砷酸盐(DMA)的形态对其总量的相对贡献。我们在未经调整的回归模型和包括所有身体成分测量的模型中，对砷生物标志物与体重指数、体脂百分比、脱脂质量和腰围类别的关系进行了建模。我们还考虑了对砷暴露和人口统计学进行调整。体重指数的增加与社会人口学变量、砷暴露以及其他身体成分指标调整前后的平均%DMA较高和平均%MMA较低相关。在未调整的线性回归模型中，体重指数类别每增加一次，%DMA增加2.4(2.1，2.6)%，≥2 5<；30，≥30<；35，≥35 0 kg/m2，%MMA降低1.6(1.4，1.7)%。在未调整的模型和调整了潜在混杂因素的模型中，体脂百分比、无脂肪质量和腰围测量也观察到了类似的模式，但当调整体重指数时，这些关联在很大程度上减弱或消失。测量身体大小，特别是体重指数，与砷代谢生物标记物有关。这种联系可能与肥胖、脱脂体重或体型有关。未来的砷流行病学研究应考虑将体重指数作为与砷相关的健康影响的潜在修饰物。
The objective of this study was to evaluate the association between measures of body composition and patterns of urine arsenic metabolites in the 1989–1991 baseline visit of the Strong Heart Study, a cardiovascular disease cohort of adults recruited from rural communities in Arizona, Oklahoma, North Dakota and South Dakota. We evaluated 3,663 Strong Heart Study participants with urine arsenic species above the limit of detection and no missing data on body mass index, % body fat and fat free mass measured by bioelectrical impedance, waist circumference and other variables. We summarized urine arsenic species patterns as the relative contribution of inorganic (iAs), methylarsonate (MMA) and dimethylarsinate (DMA) species to their sum. We modeled the associations of % arsenic species biomarkers with body mass index, % body fat, fat free mass, and waist circumference categories in unadjusted regression models and in models including all measures of body composition. We also considered adjustment for arsenic exposure and demographics. Increasing body mass index was associated with higher mean % DMA and lower mean % MMA before and after adjustment for sociodemographic variables, arsenic exposure, and for other measures of body composition. In unadjusted linear regression models, % DMA was 2.4 (2.1, 2.6) % higher per increase in body mass index category (< 25, ≥25 & <30, ≥30 & <35, ≥35 kg/m2), and % MMA was 1.6 (1.4, 1.7) % lower. Similar patterns were observed for % body fat, fat free mass, and waist circumference measures in unadjusted models and in models adjusted for potential confounders, but the associations were largely attenuated or disappeared when adjusted for body mass index. Measures of body size, especially body mass index, are associated with arsenic metabolism biomarkers. The association may be related to adiposity, fat free mass or body size. Future epidemiologic studies of arsenic should consider body mass index as a potential modifier for arsenic-related health effects.